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Uploading data involves the following actions, to be complete completed in order:
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1. Ensure your account is certified
If your account is certified, there will be an icon indicating so on your profile page. If it is not yet certified, see Step 1 in How to Share Data (an Overview) for instructions.
2. Locate your Synapse project
In order to upload data, you need to have a designated Synapse project, which will be provided to you once you register your project with the NF-OSI coordinators
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. If you haven’t registered your project yet, see How to Share Data (an Overview)
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for more information and instructions on how to do this.
If you have successfully registered your project, you should have been provided a Synapse project space to house your data.
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Here’s how to find this
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:
Log into Synapse.org
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Click on your profile picture in the upper right hand corner
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and click Projects
Click on your project—the project title should match the information you provided the NF-OSI coordinators when you
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Ensure your account is “Certified” (see How to Share Data (an Overview) ). If your account is certified, there will be an icon indicating so on your profile page.
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registered your project
3. Create a folder for your data
Once you’re in your project, click on
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Files, and then click
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the
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Data or
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Raw Data folder.
If the data are associated with a particular project milestone (e.g. 6 months, 12 months, etc), navigate to, or create a folder (Folder Tools → Create Folder) for that milestone (e.g. “6 month deliverables”).
Within this new or existing folder, create a new folder for the experiment or data type you plan to upload (e.g. “RNA Seq Experiment 1”).
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You can find more information on Synapse projects, files, and folders on the Synapse docs site.
4. Upload your data
Now that you have an appropriate folder to house your data, you’re ready to upload. You can do this using the Synapse.org
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UI or by using one of our programmatic clients—Python, R, or command-line
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. For small folders/files, the website upload is generally easiest. For larger uploads (large files
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or many files), we recommend using the programmatic clients.
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To upload using the web UI
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:
navigate to the folder you want to upload to
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and click Folder Tools → Upload or Link to a File.
To upload using the Python client
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:
follow the
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docs site, or
follow the bulk-upload instructions to upload using a manifest
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To upload using the command-line client (requires the Python client)
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:
follow the command-line client
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To upload using the R client
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:
follow the
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To upload files that already exist in an S3 bucket or Google Cloud Storage Bucket
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:
follow the instructions for Custom Storage Locations
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As an alternative option, if your files are already on GEO, SRA, or another platform that doesn’t require a login,you can link directly to the download HTTPS or FTP URL (for example, the links under the
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Data Access tab on this SRA page)
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. Here’s how:
in your Synapse account, under Folder Tools
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, click Upload or Link to a File
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simply add in the link
Using this method, users will be able to download the file as if it lived on the NF Data Portal/Synapse, but you only need to upload it once! Please note that annotation on Synapse is still required with this method.
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If you have any questions about whether your repository of choice is compatible with this, please reach out to us (nf-osi@sagebionetworks.org). Please note that annotation on Synapse is still required. |
6.
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Annotate your data
Once your dataset is uploaded, you must then annotate your data it in order to make it findable and understandable (see . You can find those instructions at How to Annotate Data).